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user-engagement-analysis

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This project uncovers audience behavior patterns by analyzing YouTube video engagement metrics using Python. From 360° EDA to interactive dashboards, it breaks down how views, likes, dislikes, and comments reveal user sentiment and content performance, built with NumPy, Pandas, Seaborn, Dash, and hypothesis testing to produce real time analytics.

  • Updated Mar 12, 2026
  • Python

Interactive Tableau dashboard analyzing 47 posts, 3,956 visits, and multi-type content engagement to identify high-performing newsfeed content and optimize user interaction strategies.

  • Updated Mar 6, 2026

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